| Project/Area Number |
25330372
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
Kushiro Noriyuki 九州工業大学, 大学院情報工学研究院, 教授 (50630886)
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| Research Collaborator |
Higuma Toshiyasu 三菱電機(株), 住環境研究開発センター
Ogawa Yuki 三菱電機(株), 住環境研究開発センター
Katsukura Makoto 三菱電機(株), 住環境研究開発センター
Ide Taichi 九州工業大学, 大学院情報創成工学専攻
Tomonaga Kazuki 九州工業大学, 大学院情報創成工学専攻
Kondo Takahiro 九州工業大学, 大学院情報創成工学専攻
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Home energy management / Life event sensor / Algorithm for HEMS / Long term field data / Activity recognition / Embedded software / スマートグリッド / スマートハウス / HEMSアルゴリズム / ライフイベント / ライフパターンセンサ / エネルギー需給モデル / 長期フィールドデータ / 組込みソフトウェア / スマートメータ / 生活イベント検知 / ホームエネルギーマネジメントシステム / サイバーフィジカルシステム / 生活データ |
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| Outline of Final Research Achievements |
Energy consumption in a home strongly depends on residents’ life pattern. For realizing energy management in a home, a sensor to grasp residences’ life pattern is indispensable. The life pattern sensor is an activity recognition sensor both for measuring electric power consumption and detecting uses of electronic devices by utilizing high frequency current waveform as a signature of each device. We developed the life pattern sensor and the HEMS algorithm based on life events in this research project. To confirm feasibility of these technologies, we constructed a long-term data collection system and collected field data for 3 years in five houses. Capability of energy demand prediction on the life events and feasibility of energy management by handling life events is confirmed.
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